A new tool for understanding neighbourhood-level drivers that impact health

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Target audience

Regional and local-level urban planners. Health impact assessment practitioners.

The problem

The use of health impact assessments is rapidly growing and can benefit from the integration of a wide variety of available data sources; however, integration of several different sources of data can be a challenge.

There are so many factors that determine the health of neighbourhoods that:

  • putting them together to understand how they all interact can be challenging.
  • choosing which factor or factors to prioritize is often difficult.

What we did and why

Our work presents a method of integrating several different sources of health impact data to create a single score of potential health impacts of an area within a given community relative to other areas within that community.

We first put different data sources into common units of measure using a standardization technique.  Next, by taking into consideration the strength of available evidence, input from community stakeholders, and other sources of data, we individually weighted the diverse range of variables related to documented sources of health impacts, both positive and negative.  We then combined these weighted quantities of impact into a combined health impact score, which provides a relative score (compared to other areas within the study area) for a given location.

Our study’s contribution

This study adds a tool that decision makers, planners, and health impact assessment practitioners can use to better understand the drivers that are impacting the health of their neighbourhoods.

The scores allow identification of what factors in a neighbourhood are most relevant in driving health impacts in a specific locality. This can help decision makers set priorities for which issues to address.

Impacts for city policy and practice

Practitioners seeking to better understand the sources of potential health impacts, either when using a health impact assessment or some other approach to integrate multiple sources of data into the decision making or planning process, could benefit from using this method/tool.  This tool helps to further integrate health into broader decision-making processes, such as health in all policies.

The tool can be used to inform plans for healthy development, health impact assessments, and can provide a health-oriented evidence-base for decision makers to consider when deliberating and setting priorities.

Further information

https://sophia.wildapricot.org/https://www.pewtrusts.org/en/projects/health-impact-project

Authors: John D. Prochaska (@DrJohnProchaska), Robert N. Buschmann and Daniel Jupiter

Full research article:

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